/***
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.tajo.engine.function.hiveudf;

import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.UDF;
import org.apache.hadoop.hive.ql.udf.UDFType;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;

/**
 * Hive UDF sample class for testing.
 * Actually it's deterministic, but it is set as false to test.
 */
@UDFType(deterministic = false)
@Description(
    name="multiplestr",
    value = "repeat string",
    extended = "multiplestr(str, num)"
)
public class HiveUDFtest extends UDF {
  public Text evaluate(Text str, IntWritable num) {
    String origin = str.toString();

    for (int i=0; i<num.get()-1; i++) {
      origin += origin;
    }

    return new Text(origin);
  }
}
